# Naukri daily feed: only new data analyst jobs in Bangalore

**Use case:** 

A ready-made daily feed task: data analyst jobs in Bangalore posted on Naukri in the last 2 days with the keyword in the job title, only jobs this feed has not delivered before. Copy it to your account, change the keywords or cities, then Schedule -> Daily. The first run returns the 2-day window (as in this sample, up to 100 jobs); later runs only the new ones. Skipped jobs are not charged.

## Input

```json
{
  "queries": [
    "data analyst"
  ],
  "allJobs": false,
  "locations": [
    "Bangalore"
  ],
  "workModes": [],
  "postedWithinDays": 2,
  "sortBy": "relevance",
  "keywordInTitle": true,
  "includeDescription": true,
  "maxJobsPerQuery": 100,
  "maxJobs": 0,
  "onlyNewSinceLastRun": true,
  "stateName": "naukri-data-analyst-bangalore-daily",
  "skipJobIds": []
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company.name": {
    "label": "Company",
    "format": "text"
  },
  "locations": {
    "label": "Cities",
    "format": "array"
  },
  "workMode": {
    "label": "Work mode",
    "format": "string"
  },
  "experienceText": {
    "label": "Experience",
    "format": "string"
  },
  "salaryMinLpa": {
    "label": "Min LPA",
    "format": "number"
  },
  "salaryMaxLpa": {
    "label": "Max LPA",
    "format": "number"
  },
  "skills": {
    "label": "Skills",
    "format": "array"
  },
  "applicants": {
    "label": "Applicants",
    "format": "number"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "url": {
    "label": "Job",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Naukri Jobs Scraper – India Jobs API with Salary (LPA) Actor is ready to run with the inputs already set for "Naukri daily feed: only new data analyst jobs in Bangalore". [Sign up or log in](https://console.apify.com/create-task-from-example/1w2l9dOX4xToZXU86) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Naukri daily feed: only new data analyst jobs in Bangalore" task

The Naukri Jobs Scraper – India Jobs API with Salary (LPA) Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, all jobs (whole board), and more, to match your specific use case.

### 3. Receive the "Naukri daily feed: only new data analyst jobs in Bangalore" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, cities, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Naukri daily feed: only new data analyst jobs in Bangalore" task via API](https://apify.com/data_daemon/naukri-jobs-scraper.md).

## About this Actor

This example demonstrates how to use [Naukri Jobs Scraper – India Jobs API with Salary (LPA)](https://apify.com/data_daemon/naukri-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_daemon/naukri-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data_daemon/naukri-jobs-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).